Needs Principles Uses Limitation

1. Unit II

2. Introduction
• Nursing informatics combines nursing science
with computer science and information
science to manage and communicate data.
The field helps develop more efficient
processes, advances healthcare and provides a
high level of patient care.

3. Needs
Why Informatics required in Nursing filed.
To quality improvement,
To communication,
To managing knowledge,
To mitigating error,
And to supporting decision-making through use
of IT.

4. The need for nurses to use technology
to:
• Collect evidence-based research to improve practice.
• Develop information, computer literacy, and skills in order
to effectively use an EMR and other clinical systems.
• Create healthcare polices through data collection.
• Develop specific competencies related to the areas of
practice such as
• Use of tele-health in community health.
• Use of medical devices in all clinical practice areas.
• With high-tech nursing practice and use of EHRs, nurses
with computer skills and understanding of informatics are
needed to facilitate communication with other
interdisciplinary teams as well as with IT.

6. Principles of Health Informatics
Principle of providing quality care-
• Apply knowledge of health data, information,
and workflow models to information
technology solutions.
• Apply best practices (quality management,
system, testing service level agreements,
business continuity, incident management)
throughout the system life cycle.

7. Principle of openness
Apply appropriate health informatics standards
and models to use and exchange information
It means collection, storage, access, use,
communication, manipulation and disposition
of personal data must be disclosed in an
appropriate and timely with a particular
person who is belongs to the data.
.

8. Principle of security
• Follow best practices and implement solutions
required to maintain the security of data,
system, devices and networks.
• Personal data that collected, should be
protected by all reasonable and appropriate
measures against loss, degradation,
unauthorized destruction, access, use,
manipulation, modification or communication.

9. Principle of access
• Facilitate appropriate consumer use of health
information and communication technology.
• A person has right to access their health
record and right to correct the record for
accuracy, completeness and relevance.

10. Principle of information privacy and
disposition
• Everyone has a fundamental right to privacy
and control over collection, storage, access,
use, communication, manipulation and
disposition of their data.

11. Principle of adaption
• Address the challenges related to the
adoption and realization of the clinical value
of information system and technology in the
health sector.

12. Use of HI
• Diagnosis process
• Medical history
• Family history
• Drug history
• Laboratory result
• Pre-consultation screening
• Coding of clinical data
• Using data from confidential sourses

13. Needs
• To reach medical facility in remote location
• To data recording and monitoring.
• To improve quality of patient care
• Accuracy (Remove errors)
• Quick data exchange
• Promote time management (save health care
workers’ time).
• Enhance communication

14. Objective
• System and software save the amount of time to
complete task by nurse.
• Locating and collaborating with other staff members
and updating patient charts
• Technology serves to improve accuracy and patient
safety by reducing medical errors.
• Preventing unauthorized people from entering a facility
or accessing sensitive patient records.
• To improve efficiency, accuracy and safety.
• Technology also allows nurse to spend more time on
direct patient care.

15. Limitation of HI
• Expensive- High cost
• Required time to adapt- (Everyday changes in
software)
• Over-dependency on technology- (Forget
manual task)
• Network hacking- ( misuse of confidential data
by hackers) Cyber security.

16. Transformation of data to knowledge
• .
Human intellect
Data
Information
Knowledge

17. • Data- data are raw facts. It can any thing like
name and symptoms.
• Information- data processed in a meaningful
way. It is any thing that is communicated.
• Knowledge- The ability of the person uses
information and experience.
.

18. For Example- A patient said my body hotter from night. (Raw data or observation)
Nurse- collect data and check patient temperature.
and find that temperature is higher than normal. (Organized data and proceed into
information)
Doctor prescribe- an antibiotic because patient has an infection, Doctor add knowledge
and experience with the help of information

19. Making effective use of data in the
medical practice
• Data is the raw information-name, address,
temperature, blood pressure, observations,
during patient visits.
• Analysis of that data provides information what is
currently happening in the medical practice.
• These analytics then provide knowledge and
insights which can be used to improve
functioning on both the administrative and
patient care sides.

20. Using data to improve patient care
1. Improve diagnostics- Data mining and data
analysis can be used to the interview and
examination to aid in an accurate diagnosis
and identification of the cause of the patient’s
illness.

21. 2. Patient records- In the move from paper to
Electronic Health Records or EHRs.
• Digital record (EHRs) reduced the time of dealing
with forms, understanding medical history,
obtaining test reports and allow more time for
patient interactions.
• EHRs can also be used to set reminders to help
keep patient care on track with prescriptions and
lab tests.

22. 3. Patient Engagement- Many patient are actively
engaged in recording and improving their health
care results, but this data needs to be incorporated
into the patient’s digital health record as well in
order to provide a complete picture of current state
of health.

23. 4. Prevention through predictive analytics- Doctors
and medical providers can access information
databases and correlate that information with
patient records to made data driven decisions
about patient care.
• This can be used to predict patients who are at
higher risk for certain types of diseases or medical
events, so precautionary action or increased
screening can be put in place.

24. 5. Interoperability- data analytics can be used to
integrate information from multiple providers and
facilities to highlight indicators of disease and
better coordinate care.

25. 6.Population health- EHRs, providers can quickly and
easily access patient data to identify patient
patterns more quickly and effectively.
• This may help increase preventative care as well as
reduce ER visits by directing medical attention to
patients with the most chronic conditions and
providing corrective treatment plans.

26. 7. Chronic care management- with elderly or high-risk
patient population, providers can receive additional
compensation for communicating with patient
through the patient portal or making sure that
routine tests and blood work are completed.

27. Using data to improve administrative
functioning
• Data helpful to analyzed and improved in
order to minimize overhead and maintain
office efficiency.
1- Revenue cycle management- the most
important pieces of information for the
healthcare centre to determine is whether the
practice is turning a profit. To analysis the
factors in maintaining a healthy practice cash
flow. How much clients payment done or left.

28. 2. Appointment management- A terrible time and
resource waster is the missed appointment and the
patient who fails to reschedule and the patients
who do not schedule time for regular
appointments.
3. Practice staffing- the practice needs to have an
adequate level of staffing to provide appropriate
patient care, while not having too many people on
payroll during times when the patient load is lighter.
Analysis of patient and staff schedules can pinpoint
high traffic times where staffing needs to be
increased, and slower times where staffing can be
decreased.

29. 4. Efficient charting- take a look at how much time is
spent in inefficient charting procedures, and
implement systems and technologies to make this
vital function as efficient as possible.
0
50
100
150
200
January Feburary March April
Health
condition
Patient- ABC Health Report
Mr. ABC

31. Technology tricks to transform data
into knowledge
• Electronic Health Record- keep data updated, store and exchange with concern
department in the best way.
• Data Reporting Tools- smart analytics to measure own practice, against your own
goals, against peers in the area and even against national benchmarks.
• Scheduling-set appointment types and duration and quickly rebook appointment
to keep patients on track, and manage clinician schedules to maintain efficient
staffing level.
• Manage Revenue- access data to view unpaid claims to make sure they are
followed up on promptly and that issues are resolved before they can become
problem.
• Care Gaps- individual patient data to look for care gaps that need to be addressed,
prior to the patient coming in for an appointment.
• Population Health-use the data tool that helps you to analyze and achieve results
such as better patient care, reduced patient costs and increased practice
productivity.
• Clinical Quality Measures- track the quality of health care service provided to
patient.

32. Summary
• Informatics can help prevent harmful treatment
and prescription errors.
• Informatics improves patient record retrieval the
acknowledgement of a patient’s medical records
is extremely important to the delivery of quality
care that treats patients based on their individual
needs.
• Improves accuracy for health insurance
administration.
• Patient information is safer when stored in
system, than physically locked.